Python numpy.polynomial.legendre.legval() Examples

The following are 30 code examples of numpy.polynomial.legendre.legval(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module numpy.polynomial.legendre , or try the search function .
Example #1
Source File: test_legendre.py    From pySINDy with MIT License 6 votes vote down vote up 
def test_legvander(self):
        # check for 1d x
        x = np.arange(3)
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))

        # check for 2d x
        x = np.array([[1, 2], [3, 4], [5, 6]])
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 2, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))
Example #2
Source File: test_legendre.py    From recruit with Apache License 2.0 6 votes vote down vote up 
def test_legvander(self):
        # check for 1d x
        x = np.arange(3)
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))

        # check for 2d x
        x = np.array([[1, 2], [3, 4], [5, 6]])
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 2, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))
Example #3
Source File: test_legendre.py    From Mastering-Elasticsearch-7.0 with MIT License 6 votes vote down vote up 
def test_legval(self):
        #check empty input
        assert_equal(leg.legval([], [1]).size, 0)

        #check normal input)
        x = np.linspace(-1, 1)
        y = [polyval(x, c) for c in Llist]
        for i in range(10):
            msg = "At i=%d" % i
            tgt = y[i]
            res = leg.legval(x, [0]*i + [1])
            assert_almost_equal(res, tgt, err_msg=msg)

        #check that shape is preserved
        for i in range(3):
            dims = [2]*i
            x = np.zeros(dims)
            assert_equal(leg.legval(x, [1]).shape, dims)
            assert_equal(leg.legval(x, [1, 0]).shape, dims)
            assert_equal(leg.legval(x, [1, 0, 0]).shape, dims)
Example #4
Source File: test_legendre.py    From Mastering-Elasticsearch-7.0 with MIT License 6 votes vote down vote up 
def test_legvander(self):
        # check for 1d x
        x = np.arange(3)
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))

        # check for 2d x
        x = np.array([[1, 2], [3, 4], [5, 6]])
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 2, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))
Example #5
Source File: test_legendre.py    From Computable with MIT License 6 votes vote down vote up 
def test_legvander(self) :
        # check for 1d x
        x = np.arange(3)
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 4))
        for i in range(4) :
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))

        # check for 2d x
        x = np.array([[1, 2], [3, 4], [5, 6]])
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 2, 4))
        for i in range(4) :
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))
Example #6
Source File: test_legendre.py    From Computable with MIT License 6 votes vote down vote up 
def test_legval(self) :
        #check empty input
        assert_equal(leg.legval([], [1]).size, 0)

        #check normal input)
        x = np.linspace(-1, 1)
        y = [polyval(x, c) for c in Llist]
        for i in range(10) :
            msg = "At i=%d" % i
            ser = np.zeros
            tgt = y[i]
            res = leg.legval(x, [0]*i + [1])
            assert_almost_equal(res, tgt, err_msg=msg)

        #check that shape is preserved
        for i in range(3) :
            dims = [2]*i
            x = np.zeros(dims)
            assert_equal(leg.legval(x, [1]).shape, dims)
            assert_equal(leg.legval(x, [1, 0]).shape, dims)
            assert_equal(leg.legval(x, [1, 0, 0]).shape, dims)
Example #7
Source File: test_legendre.py    From auto-alt-text-lambda-api with MIT License 6 votes vote down vote up 
def test_legvander(self):
        # check for 1d x
        x = np.arange(3)
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))

        # check for 2d x
        x = np.array([[1, 2], [3, 4], [5, 6]])
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 2, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))
Example #8
Source File: test_legendre.py    From vnpy_crypto with MIT License 6 votes vote down vote up 
def test_legval(self):
        #check empty input
        assert_equal(leg.legval([], [1]).size, 0)

        #check normal input)
        x = np.linspace(-1, 1)
        y = [polyval(x, c) for c in Llist]
        for i in range(10):
            msg = "At i=%d" % i
            tgt = y[i]
            res = leg.legval(x, [0]*i + [1])
            assert_almost_equal(res, tgt, err_msg=msg)

        #check that shape is preserved
        for i in range(3):
            dims = [2]*i
            x = np.zeros(dims)
            assert_equal(leg.legval(x, [1]).shape, dims)
            assert_equal(leg.legval(x, [1, 0]).shape, dims)
            assert_equal(leg.legval(x, [1, 0, 0]).shape, dims)
Example #9
Source File: test_legendre.py    From vnpy_crypto with MIT License 6 votes vote down vote up 
def test_legvander(self):
        # check for 1d x
        x = np.arange(3)
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))

        # check for 2d x
        x = np.array([[1, 2], [3, 4], [5, 6]])
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 2, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))
Example #10
Source File: test_legendre.py    From auto-alt-text-lambda-api with MIT License 6 votes vote down vote up 
def test_legval(self):
        #check empty input
        assert_equal(leg.legval([], [1]).size, 0)

        #check normal input)
        x = np.linspace(-1, 1)
        y = [polyval(x, c) for c in Llist]
        for i in range(10):
            msg = "At i=%d" % i
            tgt = y[i]
            res = leg.legval(x, [0]*i + [1])
            assert_almost_equal(res, tgt, err_msg=msg)

        #check that shape is preserved
        for i in range(3):
            dims = [2]*i
            x = np.zeros(dims)
            assert_equal(leg.legval(x, [1]).shape, dims)
            assert_equal(leg.legval(x, [1, 0]).shape, dims)
            assert_equal(leg.legval(x, [1, 0, 0]).shape, dims)
Example #11
Source File: test_legendre.py    From GraphicDesignPatternByPython with MIT License 6 votes vote down vote up 
def test_legval(self):
        #check empty input
        assert_equal(leg.legval([], [1]).size, 0)

        #check normal input)
        x = np.linspace(-1, 1)
        y = [polyval(x, c) for c in Llist]
        for i in range(10):
            msg = "At i=%d" % i
            tgt = y[i]
            res = leg.legval(x, [0]*i + [1])
            assert_almost_equal(res, tgt, err_msg=msg)

        #check that shape is preserved
        for i in range(3):
            dims = [2]*i
            x = np.zeros(dims)
            assert_equal(leg.legval(x, [1]).shape, dims)
            assert_equal(leg.legval(x, [1, 0]).shape, dims)
            assert_equal(leg.legval(x, [1, 0, 0]).shape, dims)
Example #12
Source File: test_legendre.py    From GraphicDesignPatternByPython with MIT License 6 votes vote down vote up 
def test_legvander(self):
        # check for 1d x
        x = np.arange(3)
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))

        # check for 2d x
        x = np.array([[1, 2], [3, 4], [5, 6]])
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 2, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))
Example #13
Source File: test_legendre.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up 
def test_legval(self):
        #check empty input
        assert_equal(leg.legval([], [1]).size, 0)

        #check normal input)
        x = np.linspace(-1, 1)
        y = [polyval(x, c) for c in Llist]
        for i in range(10):
            msg = "At i=%d" % i
            tgt = y[i]
            res = leg.legval(x, [0]*i + [1])
            assert_almost_equal(res, tgt, err_msg=msg)

        #check that shape is preserved
        for i in range(3):
            dims = [2]*i
            x = np.zeros(dims)
            assert_equal(leg.legval(x, [1]).shape, dims)
            assert_equal(leg.legval(x, [1, 0]).shape, dims)
            assert_equal(leg.legval(x, [1, 0, 0]).shape, dims)
Example #14
Source File: test_legendre.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up 
def test_legvander(self):
        # check for 1d x
        x = np.arange(3)
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))

        # check for 2d x
        x = np.array([[1, 2], [3, 4], [5, 6]])
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 2, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))
Example #15
Source File: test_legendre.py    From pySINDy with MIT License 6 votes vote down vote up 
def test_legval(self):
        #check empty input
        assert_equal(leg.legval([], [1]).size, 0)

        #check normal input)
        x = np.linspace(-1, 1)
        y = [polyval(x, c) for c in Llist]
        for i in range(10):
            msg = "At i=%d" % i
            tgt = y[i]
            res = leg.legval(x, [0]*i + [1])
            assert_almost_equal(res, tgt, err_msg=msg)

        #check that shape is preserved
        for i in range(3):
            dims = [2]*i
            x = np.zeros(dims)
            assert_equal(leg.legval(x, [1]).shape, dims)
            assert_equal(leg.legval(x, [1, 0]).shape, dims)
            assert_equal(leg.legval(x, [1, 0, 0]).shape, dims)
Example #16
Source File: test_legendre.py    From recruit with Apache License 2.0 6 votes vote down vote up 
def test_legval(self):
        #check empty input
        assert_equal(leg.legval([], [1]).size, 0)

        #check normal input)
        x = np.linspace(-1, 1)
        y = [polyval(x, c) for c in Llist]
        for i in range(10):
            msg = "At i=%d" % i
            tgt = y[i]
            res = leg.legval(x, [0]*i + [1])
            assert_almost_equal(res, tgt, err_msg=msg)

        #check that shape is preserved
        for i in range(3):
            dims = [2]*i
            x = np.zeros(dims)
            assert_equal(leg.legval(x, [1]).shape, dims)
            assert_equal(leg.legval(x, [1, 0]).shape, dims)
            assert_equal(leg.legval(x, [1, 0, 0]).shape, dims)
Example #17
Source File: test_legendre.py    From mxnet-lambda with Apache License 2.0 6 votes vote down vote up 
def test_legval(self):
        #check empty input
        assert_equal(leg.legval([], [1]).size, 0)

        #check normal input)
        x = np.linspace(-1, 1)
        y = [polyval(x, c) for c in Llist]
        for i in range(10):
            msg = "At i=%d" % i
            tgt = y[i]
            res = leg.legval(x, [0]*i + [1])
            assert_almost_equal(res, tgt, err_msg=msg)

        #check that shape is preserved
        for i in range(3):
            dims = [2]*i
            x = np.zeros(dims)
            assert_equal(leg.legval(x, [1]).shape, dims)
            assert_equal(leg.legval(x, [1, 0]).shape, dims)
            assert_equal(leg.legval(x, [1, 0, 0]).shape, dims)
Example #18
Source File: test_legendre.py    From mxnet-lambda with Apache License 2.0 6 votes vote down vote up 
def test_legvander(self):
        # check for 1d x
        x = np.arange(3)
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))

        # check for 2d x
        x = np.array([[1, 2], [3, 4], [5, 6]])
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 2, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))
Example #19
Source File: test_legendre.py    From ImageFusion with MIT License 6 votes vote down vote up 
def test_legval(self):
        #check empty input
        assert_equal(leg.legval([], [1]).size, 0)

        #check normal input)
        x = np.linspace(-1, 1)
        y = [polyval(x, c) for c in Llist]
        for i in range(10):
            msg = "At i=%d" % i
            tgt = y[i]
            res = leg.legval(x, [0]*i + [1])
            assert_almost_equal(res, tgt, err_msg=msg)

        #check that shape is preserved
        for i in range(3):
            dims = [2]*i
            x = np.zeros(dims)
            assert_equal(leg.legval(x, [1]).shape, dims)
            assert_equal(leg.legval(x, [1, 0]).shape, dims)
            assert_equal(leg.legval(x, [1, 0, 0]).shape, dims)
Example #20
Source File: test_legendre.py    From ImageFusion with MIT License 6 votes vote down vote up 
def test_legvander(self):
        # check for 1d x
        x = np.arange(3)
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))

        # check for 2d x
        x = np.array([[1, 2], [3, 4], [5, 6]])
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 2, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))
Example #21
Source File: test_legendre.py    From elasticintel with GNU General Public License v3.0 6 votes vote down vote up 
def test_legval(self):
        #check empty input
        assert_equal(leg.legval([], [1]).size, 0)

        #check normal input)
        x = np.linspace(-1, 1)
        y = [polyval(x, c) for c in Llist]
        for i in range(10):
            msg = "At i=%d" % i
            tgt = y[i]
            res = leg.legval(x, [0]*i + [1])
            assert_almost_equal(res, tgt, err_msg=msg)

        #check that shape is preserved
        for i in range(3):
            dims = [2]*i
            x = np.zeros(dims)
            assert_equal(leg.legval(x, [1]).shape, dims)
            assert_equal(leg.legval(x, [1, 0]).shape, dims)
            assert_equal(leg.legval(x, [1, 0, 0]).shape, dims)
Example #22
Source File: test_legendre.py    From elasticintel with GNU General Public License v3.0 6 votes vote down vote up 
def test_legvander(self):
        # check for 1d x
        x = np.arange(3)
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))

        # check for 2d x
        x = np.array([[1, 2], [3, 4], [5, 6]])
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 2, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))
Example #23
Source File: test_legendre.py    From coffeegrindsize with MIT License 6 votes vote down vote up 
def test_legval(self):
        #check empty input
        assert_equal(leg.legval([], [1]).size, 0)

        #check normal input)
        x = np.linspace(-1, 1)
        y = [polyval(x, c) for c in Llist]
        for i in range(10):
            msg = "At i=%d" % i
            tgt = y[i]
            res = leg.legval(x, [0]*i + [1])
            assert_almost_equal(res, tgt, err_msg=msg)

        #check that shape is preserved
        for i in range(3):
            dims = [2]*i
            x = np.zeros(dims)
            assert_equal(leg.legval(x, [1]).shape, dims)
            assert_equal(leg.legval(x, [1, 0]).shape, dims)
            assert_equal(leg.legval(x, [1, 0, 0]).shape, dims)
Example #24
Source File: test_legendre.py    From coffeegrindsize with MIT License 6 votes vote down vote up 
def test_legvander(self):
        # check for 1d x
        x = np.arange(3)
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))

        # check for 2d x
        x = np.array([[1, 2], [3, 4], [5, 6]])
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 2, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))
Example #25
Source File: test_legendre.py    From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License 6 votes vote down vote up 
def test_legval(self):
        #check empty input
        assert_equal(leg.legval([], [1]).size, 0)

        #check normal input)
        x = np.linspace(-1, 1)
        y = [polyval(x, c) for c in Llist]
        for i in range(10):
            msg = "At i=%d" % i
            tgt = y[i]
            res = leg.legval(x, [0]*i + [1])
            assert_almost_equal(res, tgt, err_msg=msg)

        #check that shape is preserved
        for i in range(3):
            dims = [2]*i
            x = np.zeros(dims)
            assert_equal(leg.legval(x, [1]).shape, dims)
            assert_equal(leg.legval(x, [1, 0]).shape, dims)
            assert_equal(leg.legval(x, [1, 0, 0]).shape, dims)
Example #26
Source File: test_legendre.py    From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License 6 votes vote down vote up 
def test_legvander(self):
        # check for 1d x
        x = np.arange(3)
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))

        # check for 2d x
        x = np.array([[1, 2], [3, 4], [5, 6]])
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 2, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))
Example #27
Source File: test_legendre.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up 
def test_legval(self):
        #check empty input
        assert_equal(leg.legval([], [1]).size, 0)

        #check normal input)
        x = np.linspace(-1, 1)
        y = [polyval(x, c) for c in Llist]
        for i in range(10):
            msg = "At i=%d" % i
            tgt = y[i]
            res = leg.legval(x, [0]*i + [1])
            assert_almost_equal(res, tgt, err_msg=msg)

        #check that shape is preserved
        for i in range(3):
            dims = [2]*i
            x = np.zeros(dims)
            assert_equal(leg.legval(x, [1]).shape, dims)
            assert_equal(leg.legval(x, [1, 0]).shape, dims)
            assert_equal(leg.legval(x, [1, 0, 0]).shape, dims)
Example #28
Source File: test_legendre.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up 
def test_legvander(self):
        # check for 1d x
        x = np.arange(3)
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))

        # check for 2d x
        x = np.array([[1, 2], [3, 4], [5, 6]])
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 2, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))
Example #29
Source File: test_legendre.py    From keras-lambda with MIT License 6 votes vote down vote up 
def test_legval(self):
        #check empty input
        assert_equal(leg.legval([], [1]).size, 0)

        #check normal input)
        x = np.linspace(-1, 1)
        y = [polyval(x, c) for c in Llist]
        for i in range(10):
            msg = "At i=%d" % i
            tgt = y[i]
            res = leg.legval(x, [0]*i + [1])
            assert_almost_equal(res, tgt, err_msg=msg)

        #check that shape is preserved
        for i in range(3):
            dims = [2]*i
            x = np.zeros(dims)
            assert_equal(leg.legval(x, [1]).shape, dims)
            assert_equal(leg.legval(x, [1, 0]).shape, dims)
            assert_equal(leg.legval(x, [1, 0, 0]).shape, dims)
Example #30
Source File: test_legendre.py    From keras-lambda with MIT License 6 votes vote down vote up 
def test_legvander(self):
        # check for 1d x
        x = np.arange(3)
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))

        # check for 2d x
        x = np.array([[1, 2], [3, 4], [5, 6]])
        v = leg.legvander(x, 3)
        assert_(v.shape == (3, 2, 4))
        for i in range(4):
            coef = [0]*i + [1]
            assert_almost_equal(v[..., i], leg.legval(x, coef))